Web Tracking Domain and Possible Privacy Defending Tools:A Literature Review  

作　　者：Maryam Abdulaziz Saad Bubukayr Mounir Frikha 

机构地区：[1]College of Computer Science and Information Technology,King Faisal University,Alahsa,31982,Saudi Arabia [2]Department of Computer Networks and Communications,King Faisal University,Alahsa,31982,Saudi Arabia

出　　处：《Journal of Cyber Security》2022年第2期79-94,共16页网络安全杂志（英文）

摘　　要：Personal data are strongly linked to web browsing history.By visiting a certain website,a user can share her favorite items,location,employment status,financial information,preferences,gender,medical status,news,etc.Therefore,web tracking is considered as one of the most significant internet privacy threats that can have a serious impact on end-users.Usually,it is used by mostwebsites to track visitors through the internet in order to enhance their services and improve search customization.Moreover,selling users’data to the advertising companies without their permission.Although there are more research efforts focused on third-party tracking to protect user privacy,there are still no comprehensive approaches to develop an efficient and accessible privacy protection method,even if more attention is paid to the topic.The main goal of this paper is to conduct a literature review on the web-tracking domain and possible privacy defending methods by presenting an overview of privacy issues,determining the possible tracking mechanisms that might be exploited,discussing the available privacy defense tools that could be utilized for improvement,and presenting the strength andweaknesses of eachmethod.

关 键 词：Web tracking website privacy cookies security anti-tracking privacy defense tools machine learning and blacklist 

分 类 号：TP3[自动化与计算机技术—计算机科学与技术]